hdfs数据到hbase过程

需求：将HDFS上的文件中的数据导入到hbase中

实现上面的需求也有两种办法，一种是自定义mr，一种是使用hbase提供好的import工具

一、hdfs中的数据是这样的

hbase创建好表

create 'NNTB','info'

 二、自定义mr

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import java.io.IOException;
/**
 * 用于HDFS的数据读取，写入到hbase中，
 * hbase里预先创建好表：create 'NNTB','info'
 * */
public class HdfsToHBase {
    public static void main(String[] args) throws Exception{
        System.setProperty("hadoop.home.dir", "D:\\hadoop-2.7.6");//这行我是本地运行所需指定的hadoop home
        Configuration conf = HBaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum", "202.168.27.196:2181");//ip乱写的，端口默认2181
        conf.set(TableOutputFormat.OUTPUT_TABLE, "NNTB");
        Job job = Job.getInstance(conf, HdfsToHBase.class.getSimpleName());
        TableMapReduceUtil.addDependencyJars(job);
        job.setJarByClass(HdfsToHBase.class);

        job.setMapperClass(HdfsToHBaseMapper.class);
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(Text.class);

        job.setReducerClass(HdfsToHBaseReducer.class);

        FileInputFormat.addInputPath(job, new Path("hdfs://202.168.27.196:9000/user/hadoop/gznt/gznt_bmda/*"));
        job.setOutputFormatClass(TableOutputFormat.class);
        job.waitForCompletion(true);
    }

    public static class HdfsToHBaseMapper extends Mapper<LongWritable, Text, Text, Text> {
        private Text outKey = new Text();
        private Text outValue = new Text();
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String[] splits = value.toString().split("\t");
            outKey.set(splits[0]);
            outValue.set(splits[1]+"\t"+splits[2]+"\t"+splits[3]+"\t"+splits[4]);
            context.write(outKey, outValue);
        }
    }
    //:::   create 'NNTB','info'
    public static class HdfsToHBaseReducer extends TableReducer<Text, Text, NullWritable> {
        @Override
        protected void reduce(Text k2, Iterable<Text> v2s, Context context) throws IOException, InterruptedException {
            Put put = new Put(k2.getBytes());
            for (Text v2 : v2s) {
                String[] splis = v2.toString().split("\t");
                //info，对应hbase列族名
                if(splis[0]!=null && !"NULL".equals(splis[0])){
                    put.addColumn("info".getBytes(), "NodeCode".getBytes(),splis[0].getBytes());
                }
                if(splis[1]!=null && !"NULL".equals(splis[1])){
                    put.addColumn("info".getBytes(), "NodeType".getBytes(),splis[1].getBytes());
                }
                if(splis[2]!=null && !"NULL".equals(splis[2])){
                    put.addColumn("info".getBytes(), "NodeName".getBytes(),splis[2].getBytes());
                }
                if(splis[3]!=null && !"NULL".equals(splis[3])){
                    put.addColumn("info".getBytes(), "IsWarehouse".getBytes(),splis[3].getBytes());
                }
            }
            context.write(NullWritable.get(),put);
        }
    }
}

参考自：HBase从hdfs导入数据

参考文献中的hbase导入工具介绍

(my_python_env)[root@hadoop26 ~]# hbase org.apache.hadoop.hbase.mapreduce.Import
ERROR: Wrong number of arguments: 0
Usage: Import [options] <tablename> <inputdir>
By default Import will load data directly into HBase. To instead generate
HFiles of data to prepare for a bulk data load, pass the option:
  -Dimport.bulk.output=/path/for/output

在命令中中使用命令进行导入：

hbase org.apache.hadoop.hbase.mapreduce.Import table2 /t2